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Python and SQL Complete Course

3 Months

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25 students

Python Programming With SQL Database Complete Certificate Training

This comprehensive, project-based course provides a structured progression from foundational programming concepts to full-stack application development integrating Python and SQL.

The curriculum begins with core Python programming fundamentals, covering syntax, data types, functions, and object-oriented programming principles, reinforced through two applied projects a basic calculator and a mortgage calculator. It then advances into data analysis with Python and web development, introducing Pandas, NumPy, and Flask alongside techniques for data cleaning, data visualization, and foundational machine learning concepts. This segment culminates in two further projects a personal portfolio website and an eCommerce data science dashboard.

The second half of the course delivers a thorough grounding in SQL database management and relational database design, encompassing database design, SQL queries, data manipulation, SQL joins, aggregate functions, subqueries, and database normalization. The course concludes by teaching Python and SQL integration using sqlite3 and MySQL connector, culminating in a capstone project: a Student Management System that combines both disciplines into a complete, functional application.

In total, the course comprises 13 modules and 6 hands-on projects, equipping participants with practical, job-ready skills across Python programming, data analysis, web development, and database management making it ideal for beginners pursuing careers in data science, software development, or backend development.

Course Objectives:

Build strong Python programming foundations, including OOP
Develop data analysis skills with Pandas, NumPy, and Matplotlib
Introduce core machine learning concepts
Teach web development with Python and Flask
Provide hands-on experience through 6 projects
Build understanding of relational databases and SQL
Enable Python-SQL integration for automation
Prepare learners with job-ready technical skills

Course Content:

Module 1: Introduction to Python Programming

Python Introduction & History
Python Installation & Windows Environment Setup
Interpreted vs. Compiled Programming Languages
Creating and Running Your First Python Script
Choosing an Integrated Development Environment (IDE)
How to Share Code and Get Help with Errors

Module 2: Python Programming Foundation

Basic Types Numbers, Strings & String Manipulation
Basic Types Boolean Operators
Lists (Arrays), Dictionaries & Variables
Built-in Functions & User-Defined Functions
Adding Arguments to a Function
Default Arguments, Keyword Arguments & Infinite Arguments

Project #1: Building a Basic Calculator

Module 3: Python Programming Advanced Concepts

PEP Guidelines & Best Practices
Breaking Out of While Loops
Classes & Objects, Instance Variables
Class Variables
How to Add Comments to Your Code
Importing Modules from Relative Paths

Module 4: Python Programming Advanced

For Loop & While Loop
Conditional Statements
String Formatting
Modules, Libraries & Packages
Installing Python Packages (pip)
Working with Date and Time Objects

Project #2: Mortgage Calculator with Python

Module 5: Working with Excel Files in Python

Getting Started with Pandas
Loading Data in Python from CSV
Indexing and Slicing Data Frames
Dropping Data Frame Columns and Rows
Updating and Adding New Columns and Rows

Module 6: Working with Numbers

NumPy with Python
Using Pandas Data Frames to Solve Complex Tasks
Using Pandas & NumPy to Handle Excel Files

Module 7: Webpage with Python and Flask

Webpage Project Overview
Building Your First Website with Flask
Preparing HTML Templates
Frontend showcase using flask and python

Project #3: Personal Portfolio Website

Module 8: Final eCommerce Data Science Project

eCommerce Sheet for Data Science with Pandas and NumPy
Data Cleaning and Transformation
Data Visualization using Matplotlib
Introduction to Machine Learning Concepts
Applying a Simple ML Model on Dataset

Project #4: eCommerce Data Science Dashboard

Module 9: Introduction to SQL & Relational Databases

What is a Database?

Understanding Databases, Tables, Rows & Columns
Relational vs. Non-Relational Databases
Popular SQL Databases: MySQL, PostgreSQL, SQLite, MS SQL Server
Installing MySQL / SQLite and Setting Up the Environment
Introduction to Database Management Systems (DBMS)

SQL Basics:

Introduction to SQL Syntax and Keywords
Creating Your First Database and Table (Create Database, Create Table)
SQL Data Types: int, varchar, date, float, boolean
Adding Constraints: Primary Key, Not Null, Unique, Default
Dropping Tables and Databases

Mini Exercise Design and Create a Student Records Table

Module 10: SQL Querying Retrieving & Filtering Data

SELECT Statements:

Basic Select Retrieving All and Specific Columns
Filtering with Where Clause
Comparison Operators: =, !=, >, <, >=, <=
Logical Operators: AND, OR, NOT
Between, in, Like & Wildcard Searches (%, _)
Is Null and is Not NULL

Sorting & Limiting Results:

Order By Ascending & Descending Sorting
Limit & Offset Paginating Results
Distinct Removing Duplicate Records
Aliasing Columns with AS

Module 11: SQL Data Manipulation Insert, Update & Delete

Inserting Data:

Insert Into Single Row and Multiple Rows
Inserting Data with Default Values
Bulk Inserts from CSV Files

Updating Data:

Updatr Statement with Where Clause
Updating Multiple Columns at Once
Safe Update Mode and Best Practices

Deleting Data:

Delete Statement with Where Clause
Difference Between Delete, Truncate & Drop
Rollback and Transactions (Begin, Commit, Rollback)

Assignment:

Module 12: SQL Joins, Aggregations & Subqueries

Joins:

Understanding Foreign Keys & Table Relationships
Inner Join Matching Rows from Two Tables
Left Join & Right Join Including Unmatched Rows
Full Outer Join
Self Join & Cross Join
Joining More Than Two Tables

Aggregate Functions & Grouping:

Count(), Sum(), Avg(), Min(), Max()
Group By Grouping Data for Analysis
Having Filtering Grouped Results
Using Aliases with Aggregate Functions

Subqueries:

Subqueries in Select, Where & From Clauses
Correlated Subqueries
Exists & Not Exists

Mini Exercise Multi-Table Sales Report Query

Module 13: SQL Database Design, Views & Python Integration

Database Design & Normalization:

Entity-Relationship (ER) Diagrams
Database Normalization: 1NF, 2NF, 3NF
One-to-One, One-to-Many & Many-to-Many Relationships
Designing a Real-World Database Schema

Views & Stored Procedures:

Creating & Using Views
Updating and Dropping Views
Introduction to Stored Procedures
Creating Basic Stored Procedures with Parameters

Indexes & Performance:

What are Indexes and Why They Matter
Creating and Dropping Indexes
Query Optimization Basics

Python + SQL Integration:

Connecting Python to MySQL / SQLite using sqlite3 & MySQL connector
Executing SQL Queries from Python
Fetching Results and Loading into Pandas Data Frames
Building a Python Script to Automate Database Reports

Project #6: Student Management System: Python + SQL Full Application

Learning Outcomes:

Master Python fundamentals and advanced concepts (OOP, loops)
Analyze data with Pandas, NumPy, and Matplotlib
Apply introductory machine learning techniques
Build web apps with Python and Flask
Complete 6 hands-on Python projects
Understand relational databases and DBMS concepts
Write SQL queries (SELECT, WHERE, ORDER BY)
Manipulate data with INSERT, UPDATE, DELETE
Apply SQL joins and aggregate functions (COUNT, SUM, AVG)
Design normalized databases (1NF–3NF)
Use stored procedures, views, and indexes
Integrate Python with SQL for automation

International Student Fee: 350 USD

Flexible Class Options

Corporate Group Training | Fast-Track
Weekend Classes For Professionals SAT | SUN
Online Classes-Live Virtual Class(L.V.C) Online Training

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